Average Ratings 0 Ratings
Average Ratings 2 Ratings
Description
Easy Data Transform is a user-friendly tool designed to simplify the process of transforming and cleaning data. It offers a wide range of transformation features, such as splitting columns, merging datasets, handling missing values, and performing statistical analysis—all without the need for coding. Supporting formats like CSV, Excel, and JSON, this software helps professionals quickly clean and organize large datasets, saving time and reducing errors. Ideal for data analysts, researchers, and business professionals, Easy Data Transform provides a fast and efficient way to prepare data for further analysis.
Description
Rapidminer Monarch is a Siemens self-service data preparation platform that enables business users and data teams to extract, clean, transform, and export data without coding. It is built to work with a wide range of sources, including complex PDFs, Excel files, spreadsheets, text reports, databases, and other enterprise systems. The software helps organizations convert unstructured or difficult-to-use information into structured data that can support reporting, analytics, machine learning, and business operations. Rapidminer Monarch is especially useful for teams that regularly reconcile reports, audit data, migrate legacy information, or prepare data from non-tabular files. Its no-code environment allows users to build repeatable workflows through drag-and-drop tools, reducing dependence on manual cleanup and IT support. The platform increases trust by maintaining data lineage, reconciliation configuration, and change histories for every transformation. Users can also access thousands of pre-built apps for systems such as ADP, Dayforce, Fiserv, Visa, Meditech, and SAP. Rapidminer Monarch Server helps centralize, govern, and operationalize data preparation workflows for enterprise-scale deployments. By automating repetitive preparation tasks, Rapidminer Monarch helps teams improve accuracy, speed up analytics, and make better use of data from across the business.
API Access
Has API
No
API Access
Has API
No
Integrations
Microsoft Excel
Yes
Rapidminer
No
Rapidminer Knowledge Studio
No
Rapidminer Panopticon
No
Rapidminer SLC
No
Vertica
No
Integrations
Microsoft Excel
No
Rapidminer
Yes
Rapidminer Knowledge Studio
Yes
Rapidminer Panopticon
Yes
Rapidminer SLC
Yes
Vertica
Yes
Pricing Details
$99/user one-time fee
$99+tax per user
Minor version upgrades are free
Deploy on up to 3 computers (PC or Mac)
Minor version upgrades are free
Deploy on up to 3 computers (PC or Mac)
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Oryx Digital Ltd
Founded
2005
Website
www.easydatatransform.com
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/rapidminer/monarch/
Product Features
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
No
Match & Merge
Yes
Metadata Management
No
Non-Relational Transformations
Yes
Version Control
No
Product Features
Data Cleansing
Address/ZIP Code Cleaning
No
Charting
No
Data Consolidation / ETL
No
Data Mapping
No
Multi Data Format Support
No
Phone/Email Validation
No
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
No
Data Preparation
Collaboration Tools
Yes
Data Access
Yes
Data Blending
Yes
Data Cleansing
Yes
Data Governance
Yes
Data Mashup
Yes
Data Modeling
Yes
Data Transformation
Yes
Machine Learning
Yes
Visual User Interface
Yes
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No